[CUDA] Various int8 fix (cublas, cutlass, etc) #10596
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* [CUTLASS] avoid tile size 256 for int8 + align1 case * allow selecting int8 dense strategy for vulkan * fixed cublas batch matmul for int8 * fixed int8 dense tensorcore strategy * add cutlass conv align1 + int8 case * support int8 mixed precision cublas bmm * black
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* [CUTLASS] avoid tile size 256 for int8 + align1 case * allow selecting int8 dense strategy for vulkan * fixed cublas batch matmul for int8 * fixed int8 dense tensorcore strategy * add cutlass conv align1 + int8 case * support int8 mixed precision cublas bmm * black
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denseon int8 is never selected by the op strategy. This is because it sits in the else branch oftvm/python/tvm/relay/op/strategy/cuda.py
Lines 838 to 843 in 5c0ea30
batch_matmulThe first two fixes above make it possible to run int8
bert-baseend to end via autotvm or cublas on tensorcore (cutlass already works without error).@Laurawly @vinx13 @junrushao1994 @comaniac